Uses of Class
de.lmu.ifi.dbs.elki.data.model.CorrelationModel

Packages that use CorrelationModel

de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

Correlation clustering algorithms

Uses of CorrelationModel in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation that return types with arguments of type CorrelationModel

private SortedMap<Integer,List<Cluster<CorrelationModel<V>>>>	ERiC.extractCorrelationClusters(Clustering<Model> copacResult, Relation<V> database, int dimensionality) Extracts the correlation clusters and noise from the copac result and returns a mapping of correlation dimension to maps of clusters within this correlation dimension.
Clustering<CorrelationModel<V>>	ERiC.run(Relation<V> relation) Performs the ERiC algorithm on the given database.

Method parameters in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation with type arguments of type CorrelationModel

private void	ERiC.buildHierarchy(SortedMap<Integer,List<Cluster<CorrelationModel<V>>>> clusterMap, DistanceQuery<V,IntegerDistance> query)
private boolean	ERiC.isParent(ERiCDistanceFunction distanceFunction, Cluster<CorrelationModel<V>> parent, List<Cluster<CorrelationModel<V>>> children) Returns true, if the specified parent cluster is a parent of one child of the children clusters.
private boolean	ERiC.isParent(ERiCDistanceFunction distanceFunction, Cluster<CorrelationModel<V>> parent, List<Cluster<CorrelationModel<V>>> children) Returns true, if the specified parent cluster is a parent of one child of the children clusters.